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	<title>Publications:Novel System Architecture for Online Gait Analysis - Revision history</title>
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	<updated>2026-04-04T17:55:18Z</updated>
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		<title>Slawek: Created page with &quot;&lt;div style=&#039;display: none&#039;&gt; == Do not edit this section == &lt;/div&gt; {{PublicationSetupTemplate|Author=João Bentes, Siddhartha Khandelwal, Hampus Carlsson, Marcus Kärrman, Tim ...&quot;</title>
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		<updated>2017-06-22T20:21:58Z</updated>

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|Name=Bentes, João (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Khandelwal, Siddhartha (sidkha) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Laboratoriet för intelligenta system (6703));Carlsson, Hampus (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Kärrman, Marcus (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Svensson, Tim (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650));Wickström, Nicholas (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), CAISR Centrum för tillämpade intelligenta system (IS-lab) (13650))&lt;br /&gt;
|Title=Novel System Architecture for Online Gait Analysis&lt;br /&gt;
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|Conference=The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society&lt;br /&gt;
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|Year=2017&lt;br /&gt;
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|Abstract=&amp;lt;p&amp;gt;Although wearable devices can be used toperform continuous gait analysis in daily life, existing platforms only support short-term analysis in quasi-controlled environments. This paper proposes a novel system architecture that is designed for long-term, online gait analysis in free-living environments. Various aspects related to the feasibility and scalability of the proposed system are presented.&amp;lt;/p&amp;gt;&lt;br /&gt;
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|CreatedDate=2017-06-22&lt;br /&gt;
|PublicationDate=2017-06-22&lt;br /&gt;
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